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This article discusses the need for a distinct security model for AI agents compared to chatbots, emphasizing practical controls like scoped permissions, audit logs, and prompt injection awareness.
Introduces Janus, a playground system for implementing and evaluating user-involved agentic permission management designs, demonstrating the importance of user input and AI augmentation for privacy and security.
DeerFlow 2.0 adds multi-workspace isolation, multi-role permission management, and workspace-level MCP tool and skill isolation on top of the original open-source project. It supports independent chat history, memories, and tool sets. The backend uses FastAPI + LangGraph, and the frontend uses Next.js 16.